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Thursday, May 30 • 2:15pm - 3:00pm
Using PyTorch to Classify Traffic Signs

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Are you interested in learning and applying an easy to use and intuitive machine learning framework?  Do you want to know if there a viable test and development alternative to TensorFlow?  Are TensorFlow or other Python tracebacks inscrutable?
We will walkthrough and discuss a Python3 notebook.  The notebook is a tutorial that shows how to classify the signs in the (cropped) BelgiumTS dataset.  The tutorial goes through image processing, classification, and transfer learning functionality available in Pillow, PyTorch, and torchvision.  The plan is to use Google’s Colaboratory to run a live demo (in an environment accessible to everyone).

Speakers
avatar for Jeffrey Van Voorst, PhD

Jeffrey Van Voorst, PhD

Principal Software Engineer, Veritas


Thursday May 30, 2019 2:15pm - 3:00pm
(G) P1808 Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431

Attendees (44)